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Hisao Ishibuchi:
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## Publications of Author- Satoshi Yokoyama, Naoki Namikawa, Tomoharu Nakashima, Masayo Udo, Hisao Ishibuchi
**Developing a Goal Keeper for Simulated RoboCup Soccer and its Performance Evaluation.**[Citation Graph (0, 0)][DBLP] AMiRE, 2005, pp:75-80 [Conf] - Hisao Ishibuchi
**Effects of Crossover Operations on the Performance of EMO Algorithms.**[Citation Graph (0, 0)][DBLP] Practical Approaches to Multi-Objective Optimization, 2005, pp:- [Conf] - Hisao Ishibuchi, Shiori Kaige, Kaname Narukawa
**Comparison Between Lamarckian and Baldwinian Repair on Multiobjective 0/1 Knapsack Problems.**[Citation Graph (0, 0)][DBLP] EMO, 2005, pp:370-385 [Conf] - Hisao Ishibuchi, Kaname Narukawa
**Recombination of Similar Parents in EMO Algorithms.**[Citation Graph (0, 0)][DBLP] EMO, 2005, pp:265-279 [Conf] - Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata
**Multiobjective Optimization in Linguistic Rule Extraction from Numerical Data.**[Citation Graph (0, 0)][DBLP] EMO, 2001, pp:588-602 [Conf] - Hisao Ishibuchi, Youhei Shibata
**An Empirical Study on the Effect of Mating Restriction on the Search Ability of EMO Algorithms.**[Citation Graph (0, 0)][DBLP] EMO, 2003, pp:433-447 [Conf] - Hisao Ishibuchi, Takashi Yamamoto
**Effects of Three-Objective Genetic Rule Selection on the Generalization Ability of Fuzzy Rule-Based Systems.**[Citation Graph (0, 0)][DBLP] EMO, 2003, pp:608-622 [Conf] - Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen
**Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms.**[Citation Graph (0, 0)][DBLP] EMO, 2001, pp:82-95 [Conf] - Tadahiko Murata, Hiroyuki Nozawa, Hisao Ishibuchi, Mitsuo Gen
**Modification of Local Search Directions for Non-dominated Solutions in CellularMultiobjective Genetic Algorithms forPattern Classification Problems.**[Citation Graph (0, 0)][DBLP] EMO, 2003, pp:593-607 [Conf] - Yusuke Nojima, Kaname Narukawa, Shiori Kaige, Hisao Ishibuchi
**Effects of Removing Overlapping Solutions on the Performance of the NSGA-II Algorithm.**[Citation Graph (0, 0)][DBLP] EMO, 2005, pp:341-354 [Conf] - Hisao Ishibuchi, Yusuke Nojima
**Optimization of Scalarizing Functions Through Evolutionary Multiobjective Optimization.**[Citation Graph (0, 0)][DBLP] EMO, 2006, pp:51-65 [Conf] - Tadahiko Murata, Hisao Ishibuchi, Tomoharu Nakashima, Mitsuo Gen
**Fuzzy Partition and Input Selection by Genetic Algorithms for Designing Fuzzy Rule-Based Classification Systems.**[Citation Graph (0, 0)][DBLP] Evolutionary Programming, 1998, pp:407-416 [Conf] - Tomoharu Nakashima, Takanobu Ariyama, Hisao Ishibuchi
**On-Line Learning of a Fuzzy System for a Future Market.**[Citation Graph (0, 0)][DBLP] FSKD, 2002, pp:54-58 [Conf] - Tomoharu Nakashima, Gaku Nakai, Hisao Ishibuchi
**A Boosting Algorithm of Fuzzy Rule-Based Systems for Pattern Classification Problems.**[Citation Graph (0, 0)][DBLP] FSKD, 2002, pp:155-158 [Conf] - Hisao Ishibuchi, Ryoji Sakamoto, Tomoharu Nakashima
**Adaption of Fuzzy Rule-Based Systems for Game Playing .**[Citation Graph (0, 0)][DBLP] FUZZ-IEEE, 2001, pp:1448-1451 [Conf] - Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima
**Linguistic Modelling for Function Approximation Using Grid Partitions.**[Citation Graph (0, 0)][DBLP] FUZZ-IEEE, 2001, pp:47-50 [Conf] - Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima
**Determination of Rule Weights of Fuzzy Association Rules.**[Citation Graph (0, 0)][DBLP] FUZZ-IEEE, 2001, pp:1555-1558 [Conf] - Hisao Ishibuchi, Tomoharu Nakashima
**Linguistic Rule Extraction by Genetics-Based Machine Learning.**[Citation Graph (0, 0)][DBLP] GECCO, 2000, pp:195-202 [Conf] - Hisao Ishibuchi, Tomoharu Nakashima
**Multi-objective pattern and feature selection by a genetic algorithm.**[Citation Graph (0, 0)][DBLP] GECCO, 2000, pp:1069-0 [Conf] - Hisao Ishibuchi, Kaname Narukawa
**Some Issues on the Implementation of Local Search in Evolutionary Multiobjective Optimization.**[Citation Graph (0, 0)][DBLP] GECCO (1), 2004, pp:1246-1258 [Conf] - Hisao Ishibuchi, Kaname Narukawa
**Comparison of evolutionary multiobjective optimization with rference solution-based single-objective approach.**[Citation Graph (0, 0)][DBLP] GECCO, 2005, pp:787-794 [Conf] - Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima
**Multiobjective genetic rule selection as a data mining postprocessing procedure.**[Citation Graph (0, 0)][DBLP] GECCO, 2006, pp:1591-1592 [Conf] - Hisao Ishibuchi, Tatsuo Nakari, Tomoharu Nakashima
**Evolution of Strategies in Spatial IPD Games with Structure Demes.**[Citation Graph (0, 0)][DBLP] GECCO, 2000, pp:817-824 [Conf] - Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima
**An empirical study on the handling of overlapping solutions in evolutionary multiobjective optimization.**[Citation Graph (0, 0)][DBLP] GECCO, 2005, pp:817-824 [Conf] - Hisao Ishibuchi, Yusuke Nojima, Kaname Narukawa, Tsutomu Doi
**Incorporation of decision maker's preference into evolutionary multiobjective optimization algorithms.**[Citation Graph (0, 0)][DBLP] GECCO, 2006, pp:741-742 [Conf] - Hisao Ishibuchi, Youhei Shibata
**A Similarity-Based Mating Scheme for Evolutionary Multiobjective Optimization.**[Citation Graph (0, 0)][DBLP] GECCO, 2003, pp:1065-1076 [Conf] - Hisao Ishibuchi, Youhei Shibata
**Mating Scheme for Controlling the Diversity-Convergence Balance for Multiobjective Optimization.**[Citation Graph (0, 0)][DBLP] GECCO (1), 2004, pp:1259-1271 [Conf] - Hisao Ishibuchi, Takashi Yamamoto
**Fuzzy Rule Selection By Data Mining Criteria And Genetic Algorithms.**[Citation Graph (0, 0)][DBLP] GECCO, 2002, pp:399-406 [Conf] - Hisao Ishibuchi, Takashi Yamamoto
**Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers.**[Citation Graph (0, 0)][DBLP] GECCO, 2003, pp:1077-1088 [Conf] - Hisao Ishibuchi, Tadashi Yoshida, Tadahiko Murata
**Balance Between Genetic Search And Local Search In Hybrid Evolutionary Multi-criterion Optimization Algorithms.**[Citation Graph (0, 0)][DBLP] GECCO, 2002, pp:1301-1308 [Conf] - Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen
**Cellular Genetic Local Search for Multi-Objective Optimization.**[Citation Graph (0, 0)][DBLP] GECCO, 2000, pp:307-314 [Conf] - Tadahiko Murata, Shiori Kaige, Hisao Ishibuchi
**Generalization of Dominance Relation-Based Replacement Rules for Memetic EMO Algorithms.**[Citation Graph (0, 0)][DBLP] GECCO, 2003, pp:1234-1245 [Conf] - Hisao Ishibuchi, Shiori Kaige
**A Simple but Powerful Multiobjective Hybrid Genetic Algorithm.**[Citation Graph (0, 0)][DBLP] HIS, 2003, pp:244-251 [Conf] - Hisao Ishibuchi, Kaname Narukawa
**Comparison of Local Search Implementation Schemes in Hybrid Evolutionary Multiobjective Optimization Algorithms.**[Citation Graph (0, 0)][DBLP] HIS, 2004, pp:404-409 [Conf] - Hisao Ishibuchi, Kaname Narukawa
**Spatial Implementation of Evolutionary Multiobjective Algorithms with Partial Lamarckian Repair for Multiobjective Knapsack Problems.**[Citation Graph (0, 0)][DBLP] HIS, 2005, pp:265-270 [Conf] - Hisao Ishibuchi, Yusuke Nojima
**Performance Evaluation of Evolutionary Multiobjective Approaches to the Design of Fuzzy Rule-Based Ensemble Classifiers.**[Citation Graph (0, 0)][DBLP] HIS, 2005, pp:271-276 [Conf] - Hisao Ishibuchi, Takashi Yamamoto
**Comparison of Fuzzy Rule Selection Criteria for Classification Problems.**[Citation Graph (0, 0)][DBLP] HIS, 2002, pp:132-141 [Conf] - Hisao Ishibuchi, Tadashi Yoshida
**Hybrid Evolutionary Multi-Objective Optimization Algorithms.**[Citation Graph (0, 0)][DBLP] HIS, 2002, pp:163-172 [Conf] - Yusuke Nojima, Hisao Ishibuchi
**Designing Fuzzy Ensemble Classifiers by Evolutionary Multiobjective Optimization with an Entropy-Based Diversity Criterion.**[Citation Graph (0, 0)][DBLP] HIS, 2006, pp:59- [Conf] - Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima
**Fuzzy Data Mining: Effect of Fuzzy Discretization.**[Citation Graph (0, 0)][DBLP] ICDM, 2001, pp:241-248 [Conf] - Hisao Ishibuchi, Tadahiko Murata
**Multi-Objective Genetic Local Search Algorithm.**[Citation Graph (0, 0)][DBLP] International Conference on Evolutionary Computation, 1996, pp:119-124 [Conf] - Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata
**Genetic-Algorithm-Based Approaches to the Design of Fuzzy Systems for Multi-Dimensional Pattern Classification Problems.**[Citation Graph (0, 0)][DBLP] International Conference on Evolutionary Computation, 1996, pp:229-234 [Conf] - Tadahiko Murata, Hisao Ishibuchi
**Performance Evaluation of Genetic Algorithms for Flowshop Scheduling Problems.**[Citation Graph (0, 0)][DBLP] International Conference on Evolutionary Computation, 1994, pp:812-817 [Conf] - Tadahiko Murata, Hisao Ishibuchi
**Positive and Negative Combination Effects of Crossover and Mutation Operators in Sequencing Problems.**[Citation Graph (0, 0)][DBLP] International Conference on Evolutionary Computation, 1996, pp:170-175 [Conf] - Hisao Ishibuchi, Tadahiko Murata, Shigemitsu Tomioka
**Effectiveness of Genetic Local Search Algorithms.**[Citation Graph (0, 0)][DBLP] ICGA, 1997, pp:505-512 [Conf] - Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima
**Finding Simple Fuzzy Classification Systems with High Interpretability Through Multiobjective Rule Selection.**[Citation Graph (0, 0)][DBLP] KES (2), 2006, pp:86-93 [Conf] - Tomoharu Nakashima, Hisao Ishibuchi, Andrzej Bargiela
**A Study on Weighting Training Patterns for Fuzzy Rule-Based Classification Systems.**[Citation Graph (0, 0)][DBLP] MDAI, 2004, pp:60-69 [Conf] - Hisao Ishibuchi, Takashi Yamamoto
**Interpretability Issues in Fuzzy Genetics-Based Machine Learning for Linguistic Modelling.**[Citation Graph (0, 0)][DBLP] Modelling with Words, 2003, pp:209-228 [Conf] - Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata
**A Fuzzy Classifier System That Generates Linguistic Rules for Pattern Classification Problems.**[Citation Graph (0, 0)][DBLP] IEEE/Nagoya-University World Wisepersons Workshop, 1995, pp:35-54 [Conf] - Hisao Ishibuchi, Tsutomu Doi, Yusuke Nojima
**Incorporation of Scalarizing Fitness Functions into Evolutionary Multiobjective Optimization Algorithms.**[Citation Graph (0, 0)][DBLP] PPSN, 2006, pp:493-502 [Conf] - Hisao Ishibuchi, Tsutomu Doi, Yusuke Nojima
**Effects of Using Two Neighborhood Structures in Cellular Genetic Algorithms for Function Optimization.**[Citation Graph (0, 0)][DBLP] PPSN, 2006, pp:949-958 [Conf] - Hisao Ishibuchi, Satoshi Namba
**Evolutionary Multiobjective Knowledge Extraction for High-Dimensional Pattern Classification Problems.**[Citation Graph (0, 0)][DBLP] PPSN, 2004, pp:1123-1132 [Conf] - Tomoharu Nakashima, Masahiro Takatani, Masayo Udo, Hisao Ishibuchi, Manabu Nii
**Performance Evaluation of an Evolutionary Method for RoboCup Soccer Strategies.**[Citation Graph (0, 0)][DBLP] RoboCup, 2005, pp:616-623 [Conf] - Tomoharu Nakashima, Masayo Udo, Hisao Ishibuchi
**A Fuzzy Reinforcement Learning for a Ball Interception Problem.**[Citation Graph (0, 0)][DBLP] RoboCup, 2003, pp:559-567 [Conf] - Hisao Ishibuchi, Tomoharu Nakashima
**Evolution of Reference Sets in Nearest Neighbor Classification.**[Citation Graph (0, 0)][DBLP] SEAL, 1998, pp:82-89 [Conf] - Kimiko Tanaka, Manabu Nii, Hisao Ishibuchi
**Learning from Linguistic Rules and Rule Extraction for Function Approximation by Neural Networks.**[Citation Graph (0, 0)][DBLP] SEAL, 1998, pp:317-324 [Conf] - Hisao Ishibuchi, Takashi Yamamoto
**Multi-objective evolutionary design of fuzzy rule-based systems.**[Citation Graph (0, 0)][DBLP] SMC (3), 2004, pp:2362-2367 [Conf] - Tomoharu Nakashima, Hisao Ishibuchi, Andrzej Bargiela
**Constructing fuzzy classification systems from weighted training patterns.**[Citation Graph (0, 0)][DBLP] SMC (3), 2004, pp:2386-2391 [Conf] - Tomoharu Nakashima, Hiroko Kitano, Hisao Ishibuchi
**Development of a fuzzy position controller for an autonomously trading agent.**[Citation Graph (0, 0)][DBLP] SMC (3), 2004, pp:2338-2343 [Conf] - Tomoharu Nakashima, Masahiro Takatani, Masayo Udo, Hisao Ishibuchi
**An evolutionary approach for strategy learning in RoboCup soccer.**[Citation Graph (0, 0)][DBLP] SMC (2), 2004, pp:2023-2028 [Conf] - Tomoharu Nakashima, Hisao Ishibuchi, Masahiro Takatani, Manabu Nii
**The Effect of Using Match History on the Evolution of RoboCup Soccer Team Strategies.**[Citation Graph (0, 0)][DBLP] CIG, 2006, pp:60-66 [Conf] - Hisao Ishibuchi
**Book Review: "Genetic fuzzy systems: evolutionary tuning and learning of fuzzy knowledge bases" by Oscar Cordon, Francisco Herrera, Frank Hoffmann and Luis Magdalena; World Scientific, Singapore, New Jersey, London, Hong Kong, 2001, 462pp., ISBN 981-02-40**[Citation Graph (0, 0)][DBLP] Fuzzy Sets and Systems, 2004, v:141, n:1, pp:161-162 [Journal] - Hisao Ishibuchi, Manabu Nii
**Numerical analysis of the learning of fuzzified neural networks from fuzzy if-then rules.**[Citation Graph (0, 0)][DBLP] Fuzzy Sets and Systems, 2001, v:120, n:2, pp:281-307 [Journal] - Hisao Ishibuchi, Manabu Nii
**Fuzzy regression using asymmetric fuzzy coefficients and fuzzified neural networks.**[Citation Graph (0, 0)][DBLP] Fuzzy Sets and Systems, 2001, v:119, n:2, pp:273-290 [Journal] - Hisao Ishibuchi, Ryoji Sakamoto, Tomoharu Nakashima
**Learning fuzzy rules from iterative execution of games.**[Citation Graph (0, 0)][DBLP] Fuzzy Sets and Systems, 2003, v:135, n:2, pp:213-240 [Journal] - Hisao Ishibuchi, Takashi Yamamoto
**Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining.**[Citation Graph (0, 0)][DBLP] Fuzzy Sets and Systems, 2004, v:141, n:1, pp:59-88 [Journal] - Tomoharu Nakashima, Gerald Schaefer, Yasuyuki Yokota, Hisao Ishibuchi
**A weighted fuzzy classifier and its application to image processing tasks.**[Citation Graph (0, 0)][DBLP] Fuzzy Sets and Systems, 2007, v:158, n:3, pp:284-294 [Journal] - Hisao Ishibuchi
**Preface: 3rd international conference on fuzzy logic, neural nets, and soft computing.**[Citation Graph (0, 0)][DBLP] Int. J. Approx. Reasoning, 1995, v:13, n:4, pp:247-248 [Journal] - Hisao Ishibuchi, Kouichi Morioka, I. Burhan Türksen
**Learning by fuzzified neural networks.**[Citation Graph (0, 0)][DBLP] Int. J. Approx. Reasoning, 1995, v:13, n:4, pp:327-358 [Journal] - Hisao Ishibuchi, Hideo Tanaka, Hidehiko Okada
**Interpolation of fuzzy if-then rules by neural networks.**[Citation Graph (0, 0)][DBLP] Int. J. Approx. Reasoning, 1994, v:10, n:1, pp:3-27 [Journal] - Hideo Tanaka, Hisao Ishibuchi
**Evidence theory of exponential possibility distributions.**[Citation Graph (0, 0)][DBLP] Int. J. Approx. Reasoning, 1993, v:8, n:2, pp:123-140 [Journal] - Hisao Ishibuchi, Yusuke Nojima
**Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning.**[Citation Graph (0, 0)][DBLP] Int. J. Approx. Reasoning, 2007, v:44, n:1, pp:4-31 [Journal] - Hisao Ishibuchi, Shiori Kaige
**Implementation of Simple Multiobjective Memetic Algorithms and Its Applications to Knapsack Problems.**[Citation Graph (0, 0)][DBLP] Int. J. Hybrid Intell. Syst., 2004, v:1, n:1, pp:22-35 [Journal] - Hisao Ishibuchi, Yusuke Nojima
**Evolutionary multiobjective optimization for the design of fuzzy rule-based ensemble classifiers.**[Citation Graph (0, 0)][DBLP] Int. J. Hybrid Intell. Syst., 2006, v:3, n:3, pp:129-145 [Journal] - Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata
**Three-objective genetics-based machine learning for linguistic rule extraction.**[Citation Graph (0, 0)][DBLP] Inf. Sci., 2001, v:136, n:1-4, pp:109-133 [Journal] - Hisao Ishibuchi, Tadahiko Murata, Tomoharu Nakashima
**Linguistic Rule Extraction from Numerical Data for High-dimensional Classification Problems.**[Citation Graph (0, 0)][DBLP] JACIII, 1999, v:3, n:5, pp:386-393 [Journal] - Hisao Ishibuchi, Tomoharu Nakashima
**Pattern and Feature Selection by Genetic Algorithms in Nearest Neighbor Classification.**[Citation Graph (0, 0)][DBLP] JACIII, 2000, v:4, n:2, pp:138-145 [Journal] - Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima
**An approach to fuzzy default reasoning for function approximation.**[Citation Graph (0, 0)][DBLP] Soft Comput., 2006, v:10, n:9, pp:850-864 [Journal] - Hisao Ishibuchi, Naoki Namikawa
**Evolution of iterated prisoner's dilemma game strategies in structured demes under random pairing in game playing.**[Citation Graph (0, 0)][DBLP] IEEE Trans. Evolutionary Computation, 2005, v:9, n:6, pp:552-561 [Journal] - Hisao Ishibuchi, Tomoharu Nakashima, Ryoji Sakamoto
**Evolution of unplanned coordination in a market selection game.**[Citation Graph (0, 0)][DBLP] IEEE Trans. Evolutionary Computation, 2001, v:5, n:5, pp:524-534 [Journal] - Hisao Ishibuchi, Tadashi Yoshida, Tadahiko Murata
**Balance between genetic search and local search in memetic algorithms for multiobjective permutation flowshop scheduling.**[Citation Graph (0, 0)][DBLP] IEEE Trans. Evolutionary Computation, 2003, v:7, n:2, pp:204-223 [Journal] - Hisao Ishibuchi, Takashi Yamamoto
**Rule Weight Specification in Fuzzy Rule-Based Classification Systems.**[Citation Graph (0, 0)][DBLP] IEEE T. Fuzzy Systems, 2005, v:13, n:4, pp:428-435 [Journal] - Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata
**Performance evaluation of fuzzy classifier systems for multidimensional pattern classification problems.**[Citation Graph (0, 0)][DBLP] IEEE Transactions on Systems, Man, and Cybernetics, Part B, 1999, v:29, n:5, pp:601-618 [Journal] - Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima
**Hybridization of fuzzy GBML approaches for pattern classification problems.**[Citation Graph (0, 0)][DBLP] IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2005, v:35, n:2, pp:359-365 [Journal] - Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, Ken Ohara
**Effects of the use of non-geometric binary crossover on evolutionary multiobjective optimization.**[Citation Graph (0, 0)][DBLP] GECCO, 2007, pp:829-836 [Conf] - Hisao Ishibuchi, Isao Kuwajima, Yusuke Nojima
**Prescreening of Candidate Rules Using Association Rule Mining and Pareto-optimality in Genetic Rule Selection.**[Citation Graph (0, 0)][DBLP] KES (2), 2007, pp:509-516 [Conf] - Hisao Ishibuchi
**Evolutionary Multiobjective Design of Fuzzy Rule-Based Systems.**[Citation Graph (0, 0)][DBLP] FOCI, 2007, pp:9-16 [Conf] - Hisao Ishibuchi, Naoki Namikawa
**Evolution of cooperative behavior in the iterated prisoner's dilemma under random pairing in game playing.**[Citation Graph (0, 0)][DBLP] Congress on Evolutionary Computation, 2005, pp:2637-2644 [Conf] - Yusuke Nojima, Hisao Ishibuchi
**Genetic rule selection with a multi-classifier coding scheme for ensemble classifier design.**[Citation Graph (0, 0)][DBLP] Int. J. Hybrid Intell. Syst., 2007, v:4, n:3, pp:157-169 [Journal] **Cost-Sensitive Fuzzy Classification for Medical Diagnosis.**[Citation Graph (, )][DBLP]**Parallel Approaches for Multiobjective Optimization.**[Citation Graph (, )][DBLP]**Adaptation of Scalarizing Functions in MOEA/D: An Adaptive Scalarizing Function-Based Multiobjective Evolutionary Algorithm.**[Citation Graph (, )][DBLP]**Multiobjective Genetic Fuzzy Systems: Review and Future Research Directions.**[Citation Graph (, )][DBLP]**Breast Cancer Classification Using Statistical Features and Fuzzy Classification of Thermograms.**[Citation Graph (, )][DBLP]**Fuzzy Classification of Gene Expression Data.**[Citation Graph (, )][DBLP]**Introducing Class-Based Classification Priority in Fuzzy Rule-Based Classification Systems.**[Citation Graph (, )][DBLP]**Data Set Subdivision for Parallel Distributed Implementation of Genetic Fuzzy Rule Selection.**[Citation Graph (, )][DBLP]**Effectiveness of scalability improvement attempts on the performance of NSGA-II for many-objective problems.**[Citation Graph (, )][DBLP]**Maintaining the diversity of solutions by non-geometric binary crossover: a worst one-max solver competition case study.**[Citation Graph (, )][DBLP]**Single-objective and multi-objective formulations of solution selection for hypervolume maximization.**[Citation Graph (, )][DBLP]**Indicator-based evolutionary algorithm with hypervolume approximation by achievement scalarizing functions.**[Citation Graph (, )][DBLP]**Simultaneous use of different scalarizing functions in MOEA/D.**[Citation Graph (, )][DBLP]**Effects of Data Reduction on the Generalization Ability of Parallel Distributed Genetic Fuzzy Rule Selection.**[Citation Graph (, )][DBLP]**Neighborhood structures for genetic local search algorithms.**[Citation Graph (, )][DBLP]**Fuzzy arithmetic in neural networks for linguistic rule extraction.**[Citation Graph (, )][DBLP]**A study on generating fuzzy classification rules using histograms.**[Citation Graph (, )][DBLP]**Improving the generalization ability of neural networks by interval arithmetic.**[Citation Graph (, )][DBLP]**Examining the Effect of Elitism in Cellular Genetic Algorithms Using Two Neighborhood Structures.**[Citation Graph (, )][DBLP]**Use of Heuristic Local Search for Single-Objective Optimization in Multiobjective Memetic Algorithms.**[Citation Graph (, )][DBLP]**Many-Objective Test Problems to Visually Examine the Behavior of Multiobjective Evolution in a Decision Space.**[Citation Graph (, )][DBLP]**How to Choose Solutions for Local Search in Multiobjective Combinatorial Memetic Algorithms.**[Citation Graph (, )][DBLP]**Use of Local Ranking in Cellular Genetic Algorithms with Two Neighborhood Structures.**[Citation Graph (, )][DBLP]**Choosing extreme parents for diversity improvement in evolutionary multiobjective optimization algorithms.**[Citation Graph (, )][DBLP]**Evolutionary Many-Objective Optimization by NSGA-II and MOEA/D with Large Populations.**[Citation Graph (, )][DBLP]**Effects of spatial structures on evolution of iterated prisoner's dilemma game strategies with probabilistic decision making.**[Citation Graph (, )][DBLP]**Iterative approach to indicator-based multiobjective optimization.**[Citation Graph (, )][DBLP]**An empirical study on the specification of the local search application probability in multiobjective memetic algorithms.**[Citation Graph (, )][DBLP]**Scalability of multiobjective genetic local search to many-objective problems: Knapsack problem case studies.**[Citation Graph (, )][DBLP]**A study on constructing fuzzy systems for high-level decision making in a car racing game.**[Citation Graph (, )][DBLP]**Evolutionary many-objective optimization: A short review.**[Citation Graph (, )][DBLP]**Hypervolume approximation using achievement scalarizing functions for evolutionary many-objective optimization.**[Citation Graph (, )][DBLP]**Effects of using two neighborhood structures on the performance of cellular evolutionary algorithms for many-objective optimization.**[Citation Graph (, )][DBLP]**Learning Fuzzy If-Then Rules for Pattern Classi cation with Weighted Training Patterns.**[Citation Graph (, )][DBLP]**Multiobjective Formulations of Fuzzy Rule-Based Classification System Design.**[Citation Graph (, )][DBLP]**Discussions on Interpretability of Fuzzy Systems using Simple Examples.**[Citation Graph (, )][DBLP]**Interactive Fuzzy Modeling by Evolutionary Multiobjective Optimization with User Preference.**[Citation Graph (, )][DBLP]**Evolutionary multiobjective optimization and multiobjective fuzzy system design.**[Citation Graph (, )][DBLP]**Effects of Diversity Measures on the Design of Ensemble Classifiers by Multiobjective Genetic Fuzzy Rule Selection with a Multi-classifier Coding Scheme.**[Citation Graph (, )][DBLP]
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